Targeting humanitarian aid with machine learning and digital data | Emily Aiken
GPS, Robinson Building Complex (RBC), 3203Abstract: The majority of humanitarian aid and social protection programs globally are targeted, providing assistance to individuals or communities identified to be poorest or most in need. In low- and middle-income countries, the targeting of aid programs is often limited by low-quality, out-of-date, or missing data on poverty and vulnerability. Novel "big" digital data sources, […]